Essential Math For Data Science, Deep Learning and AI Uses and How Machine Learning Algorithms are Different From Traditional Algorithms?
What is web scraping?
It is the process of extracting information and data from a website, transforming the information on a webpage into structured data for further analysis.
Mathematics is the bedrock of any contemporary discipline of science. It is no surprise then that, almost all the techniques of modern data science (including all of the machine learning) have some deep mathematical underpinning or the other. In this article, we discuss the essential math topics to master to become a better data scientist in all aspects.
Machine learning is an algorithm or model that learns patterns in data and then predicts similar patterns in new data. For example, if you want to classify children’s books, it would mean that instead of setting up precise rules for what constitutes a children’s book, developers can feed the computer hundreds of examples of children’s books. The computer finds the patterns in these books and uses that pattern to identify future books in that category.
What are Web Scraping and Why You Should Learn It? - Introducing Octoparse - a sleek, powerful and easy-to-use software that makes web scraping from any websites achievable for most people, including non-coders.
https://www.kdnuggets.com/2018/09/octoparse-web-scraping.html
Essential Math for Data Science: ‘Why’ and ‘How’ - It always pays to know the machinery under the hood (even at a high level) than being just the guy behind the wheel with no knowledge about the car.
https://www.kdnuggets.com/2018/09/essential-math-data-science.html
10 Amazing Examples Of How Deep Learning AI Is Used In Practice? - How could you possibly get machines to learn like humans? And, an even scarier notion for some, why would we want machines to exhibit human-like behavior? Here, we look at 10 examples of how deep learning is used in practice that will help you visualize the potential.
5 Signs You Should Invest in Data Science - The good news is that now there are AI and machine learning tools in place that will not break the budget and that could do a lot of the heavy lifting when it comes to business decisions. So, do you need to invest in data science as well? Here are five signs indicating that it may be time to do so:
https://www.business2community.com/big-data/5-signs-you-should-invest-in-data-science-02115459
How Do Machine Learning Algorithms Differ From Traditional Algorithms? - For example, if you want to classify children’s books, it would mean that instead of setting up precise rules for what constitutes a children’s book, developers can feed the computer hundreds of examples of children’s books. The computer finds the patterns in these books and uses that pattern to identify future books in that category.
“Signature-based malware detection is dead. Machine learning based Artificial Intelligence is the most potent defense the next gen adversary and the mutating hash.”
― James Scott, Senior Fellow, Institute for Critical Infrastructure Technology
We live in the age of data. From global temperatures to shopping habits, new technologies have made it easier to collect, store and access information than any time in history. But our use of these technologies has also eroded our attention spans and fuelled “post-truth” misunderstandings.
I have good news for you. It is that the process of migrating legacy databases to a new environment is not always as bumpy and risky as it may seem, check legacy databases. The migration can be smooth and safe if done correctly - using the right procedures and expertise. Thanks to this article, you can learn exactly what legacy database migration involves and why it is worth the effort.